/*

Copyright (C) 1997,1998,1999,2000,2001  Franz Josef Och

mkcls - a program for making word classes .

This program is free software; you can redistribute it and/or
modify it under the terms of the GNU General Public License
as published by the Free Software Foundation; either version 2
of the License, or (at your option) any later version.

This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
GNU General Public License for more details.

You should have received a copy of the GNU General Public License
along with this program; if not, write to the Free Software
Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA 02111-1307,
USA.

*/




#include "TAOptimization.h"
#include "ProblemTest.h"


double TAOptimization::defaultAnnRate=0.4;
double TAOptimization::defaultMultiple=2.0;


TAOptimization::TAOptimization(Problem &p,double t,double d,int m)
  : IterOptimization(p,m) , temperatur(t) , deltaTemperatur(d)
{
  assert(t>0 && d>0);
}



TAOptimization::TAOptimization(Problem&p,int m)
  : IterOptimization(p,m), temperatur(-1)
{
}



TAOptimization::TAOptimization(TAOptimization &o)
  : IterOptimization(o)
{
  temperatur= o.temperatur;
  deltaTemperatur= o.deltaTemperatur;
}




void TAOptimization::zInitialize()
{
  IterOptimization::zInitialize();
  if( temperatur<0) {


    int n;

    StatVar &v=problem.deviationStatVar(*this,ANZ_VERSCHLECHTERUNGEN);

    if(maxStep>0)
      n=(int)(maxStep*4.0/5.0);
    else
      maxStep=n=(int)(problem.expectedNumberOfIterations()*defaultMultiple);

    temperatur      = v.quantil(defaultAnnRate);
    deltaTemperatur = temperatur/n;

    if( verboseMode>0 )
      cout << "#TA: (anfAnnRate="
           << defaultAnnRate << ",T=" << temperatur << ",deltaT="
           << deltaTemperatur << ")\n";
    curStep=0;
    endFlag=0;
    delete &v;
  }
}


short TAOptimization::end()
{


  if( temperatur>0 ) {
    endFlag=0;
    bestStep=curStep;
  }
  return endFlag>0;
}

short TAOptimization::accept(double delta)
{
  if( temperatur<0 )
    return 1;
  else if( delta < temperatur )
    return 1;
  else
    return 0;
}

void TAOptimization::abkuehlen()
{
  if( temperatur>=0 )
    temperatur=(temperatur-deltaTemperatur>0)?(temperatur-deltaTemperatur):0;
}

void TAOptimization::makeGraphOutput()
{
  IterOptimization::makeGraphOutput();
  *GraphOutput << temperatur;
}




double TAOptimization::optimizeValue(Problem &p,int proParameter,int numParameter,int typ,
                                     int optimierungsschritte,int print)
{
  switch(typ) {
  case 1: {
    double bestPar=-1,best=1e100;
    if(print)cout << "#TA-optimizeValues: " << numParameter << endl;
    for(int i=0; i<=numParameter; i++) {
      StatVar end,laufzeit,init;
      double now;
      defaultAnnRate = (float)(i)/numParameter;
      solveProblem(0,p,proParameter,optimierungsschritte,TA_OPT,now,end,
                   laufzeit,init);
      if( best>now ) {
        best=now;
        bestPar=defaultAnnRate;
      }
      if( print) {
        cout << defaultAnnRate << " ";
        cout << end.getMean() << " " << end.quantil(0.2) << " "
             << end.quantil(0.79) << "  " << laufzeit.getMean() << " "
             << end.quantil(0.0) << " " << end.getSigma() << " "
             << end.getSigmaSmaller() << " " << end.getSigmaBigger()
             << " " << now << endl;
      }
    }
    if( print )
      cout << "#Mittelwert 0.2-Quantil 0.8-Quantil Laufzeit Bester"
           " Sigma SigmaSmaller SigmaBigger\n";
    defaultAnnRate=0.5;
    return bestPar;
  }
  break;
  case 10: {
    double bestPar=-1,best=1e100;
    if( print )
      cout << "#TA-optimizeValues: defaultMultiple " << 10 << endl;
    for(int i=1; i<=6; i++) {
      StatVar end,laufzeit,init;
      double now;
      defaultMultiple = i;
      solveProblem(0,p,proParameter,optimierungsschritte,TA_OPT,now,
                   end,laufzeit,init);
      if( best>now ) {
        best=now;
        bestPar=defaultMultiple;
      }
      if( print ) {
        cout << defaultMultiple << " ";
        cout << end.getMean() << " " << end.quantil(0.2) << " "
             << end.quantil(0.79) << "  " << laufzeit.getMean() << " "
             << end.quantil(0.0) << " " << end.getSigma() << " "
             << end.getSigmaSmaller() << " " << end.getSigmaBigger()
             << " " << now << endl;
      }
    }
    if( print )
      cout << "#Mittelwert 0.2-Quantil 0.8-Quantil Laufzeit Bester Sigma "
           " SigmaSmaller SigmaBigger\n";
    defaultMultiple=2.0;
    return bestPar;
  }
  break;
  default:
    cerr << "Error: wrong parameter-type in TAOptimization::optimizeValue ("
         << typ << ")\n";
    exit(1);
  }
  return 1e100;
}


